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Data Scientist Analyst - Secondaries & Primaries

Ardian Jobs & Internships
Posted 5 days ago, valid for 24 days
Location

New York, NY 10008, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • This Data Scientist position at Ardian focuses on the Secondaries and Primaries market within private equity, offering a hands-on opportunity to apply data science and AI techniques to financial challenges.
  • The role requires 1-3 years of experience and involves collaborating with the investment team to optimize investment models and analyze market trends.
  • Candidates should possess core technical skills in programming languages such as SQL and Python, along with experience in machine learning and data visualization tools.
  • Additionally, a degree in Computer Science, Statistics, or Data Science is required, alongside strong analytical, communication, and problem-solving skills.
  • The position offers a competitive salary, emphasizing the importance of stakeholder management and strategic thinking in a fast-paced team environment.


 

The Role

This position offers a unique opportunity to immerse yourself in the fast-paced world of private equity, specifically within the innovative Secondaries and Primaries market. You will gain hands-on experience in applying data science and artificial intelligence techniques to real-world financial problems, contributing directly to the team's success.

Joining the Secondaries & Primaries team at Ardian, the Data Scientist will leverage analytical skills to support investment strategies and decision-making processes. You will be part of an already established fast-growing data science team entirely dedicated to the Secondaries & Primaries activity.

This role involves working closely with the investment team, applying data science methodologies to optimize investment models, analyze market trends, and enhance data-driven insights for the Secondaries and Primaries markets. You will work on both established datasets and the structuring of new data sources, in close collaboration with our data engineering team.

Current projects include, but are not limited to:

  • Portfolio-level analytics: fund and company performance modeling, GP benchmarking through development of proprietary machine learning models

  • AI integration into day-to-day team workflows, including pricing and other deal-related aspects

  • Market intelligence: identifying trends in private equity markets

  • Deal execution: data-driven screening of opportunities, valuation support

  • Risk assessment: scenario modeling for fund investments

  • Support responses to LP analytics and data-driven requests

Core Technical Skills

  • Programming languages & technical stack (SQL, Python, R, GitHub, Databricks, Snowflake)

  • Machine learning & AI (predictive modeling, generative AI, NLP) - Experience in developing AI tools and agentic workflows is advantageous

  • Statistical analysis & econometrics

  • Data visualization tools (e.g., Tableau, Power BI)

Business & Investment Skills

  • Knowledge of the finance and private equity sector, with a desire to understand Secondaries and Primaries market dynamics

  • Financial modeling & valuation

  • Market analysis & competitive intelligence

  • Understanding of investment processes (deal sourcing, due diligence, portfolio monitoring)

  • Strong analytical and problem-solving skills

Soft Skills

  • Highly motivated with the ability to work autonomously and in a team environment.

  • Excellent communication skills with the ability to present complex technical concepts in a clear and concise manner.

  • Stakeholder management (investment teams, investors, other parties)

  • Strategic thinking & problem-solving

Communication Scope:

  • The candidate will be required to liaise directly with various internal team members and should be confident in requesting / providing information to all levels of management

  • The role will require significant interaction with other teams in Europe and from other Ardian offices / geographies


Profile

  • Degree in Computer Science, Statistics, Data Science or another related field

  • 1-3 years' experience. The role will initially focus on supporting senior team members, with increasing ownership over models and analyses as experience grows

  • Familiarity working with international teams and across cultures




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